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PhD fellow in Process-aware Distributed Ledger Technologies

Datalogisk Institut, Københavns Universitet (DIKU)



Department of Computer Science, Faculty of Science at University of Copenhagen is offering a PhD scholarship in Process-aware Distributed Ledger Technologies commencing 01.09.2020 or as soon as possible thereafter.

Description of the scientific environment
The PhD project will be hosted by the Software, Data, People & Society (SDPS) Section, which performs research in software, process, and data management systems. We focus in particular on methods for the development of software systems that closely match the needs of developers, users, and society. The research is often carried out in an interdisciplinary context and in collaboration with industry. In particular, the student will be a member of the Process Modelling and Intelligence (PMI) and Decentralized Systems (DS) research groups.

Research at the PMI group centers around the concept of processes in all their forms, including but not limited to, business, development, and physical processes. Notable contributions by members of the group include the Dynamic Condition Response (DCR) Graphs process notation, seminal work on declarative and hybrid process discovery, and research into the application of distributed ledger technologies to cross-organizational processes.

The focus of the DS group is research on algorithms and computational models for distributed systems with decentralized control and strong security guarantees, e.g., privacy preservation.

More information on the section and research groups can be found on their websites:

https://di.ku.dk/english/research/sdps/
https://di.ku.dk/english/research/sdps/research-groups/
https://di.ku.dk/english/research/groups/process-modelling-and-intelligence/

Project description
The PhD will be part of the PAPRiCaS project funded by Independent Research Fund Denmark (grant number: 9131-00077B), which investigates technologies and methods for ensuring accountability for security and privacy in evolvable context-aware systems.

Your PhD project will focus on researching technologies for the collaborative collection and verification of events and actions, in particular representing the use of sensitive personal data, in order to enable audits and forensics by regulators and other interested parties. In particular, you will develop a secure, tamper-proof and process/regulation-aware distributed ledger, based on successful previous work by the research group on the use of declarative process models for capturing regulations and law and the execution of such models on distributed platforms.

As a strong candidate, you should have extensive experience in either distributed ledger technologies, e.g. blockchain, or declarative process notations, e.g. DCR Graphs. During your PhD project, you are expected to both advance the foundations of these fields through basic research and to build actual systems based on novel ideas. The results of the PhD project are expected to be published in top venues in the relevant research fields.

Principal supervisor is Tenure-track Assistant Professor Tijs Slaats, Department of Computer Science, slaats@di.ku.dk Co-supervisor is Associate Professor Boris Düdder, Department of Computer Science.

Job description
The position is available for a 3-year period and your key tasks as a PhD student at SCIENCE are:

  • To manage and carry through your research project
  • Attend PhD courses
  • Write scientific articles and your PhD thesis
  • Teach and disseminate your research
  • To stay at an external research institution for a few months, preferably abroad
  • Work for the department

Formal requirements
Applicants should hold an MSc degree in Computer Science with good results and good English skills. However, for exceptionally strong candidates the position is also available as an integrated MSc and PhD, see below for details.

As criteria for the assessment of your qualifications, emphasis will be laid on previous publications (if any) and relevant work experience.

Terms of employment
The position is covered by the Memorandum on Job Structure for Academic Staff.

Terms of appointment and payment accord to the agreement between the Ministry of Finance and The Danish Confederation of Professional Associations on Academics in the State.

The starting salary is currently at a minimum DKK 325.625 (approx. €43,400) including annual supplement (+ pension up to DKK 44,980). Negotiation for salary supplement is possible.

Integrated MSc and PhD Scheme
The position is also available for candidates who are (or are eligible to be) enrolled at one of the faculty’s master programmes in Computer Science. The duration of the integrated programme depends on the amount of credits that you have passed on your MSc programme. For further information about the study programme please see: www.science.ku.dk/phd, “Study Structures”.

Scholarship and terms of employment for integrated MSc and PhD
PhD grant portions (Ph.D.‐SU klip)

In the period up to the completion of the MSc programme (up to three years), the student is entitled to so-called PhD grant portions. The grant portions are financed by the grant donor but not by the Danish State Educational Grant and Loan Scheme Agency (as is the case for the ordinary study grant portions on the BSc and MSc programmes). They are called PhD grant portions because this kind of remuneration is regulated and described in the Executive Order on the State Educational Grant and Loan Scheme in Denmark (SU‐bekendtgørelsen), and because the value of a PhD grant portion corresponds to the value of an ordinary Danish study grant portion. Students are awarded 48 PhD grant portions during the period of their MSc and PhD studies.

48 PhD grant portions at DKK 6,090 each, corresponding to DKK 292,320 (approx. €38,975).

'Duty work'
As a supplement to the PhD grant portions, the student may, in accordance with the collective agreement of the Danish Confederation of Professional Associations (AC), be offered 'duty work'. In the period up to the completion of the MSc programme, students performing 'duty work' are paid by the hour. UCPH has decided to offer students on integrated MSc and PhD schemes 150 hours of 'duty work' per year during Part A of the programme (until two years of the combined programme of study remain). 'Duty work' during Part A if it has a duration of three years: 450 hours at a rate of DKK 216.14 (+ 12.5% holiday pay), corresponding to DKK 109,418 (approx. €14,580)

For further information about Part A please see: https://www.science.ku.dk/phd/studystructure/integratedphd/

Salary in accordance with the collective agreement with the Danish Confederation of Professional Associations (AC)
In the period after the completion of the MSc programme, the student is employed as a PhD scholar and is remunerated in accordance with the collective agreement with the Danish Confederation of Professional Associations (AC). The scheme is arranged in such a way that students graduate from the MSc programme at a time when there are two years left of the integrated programme. For this reason, the salary must be paid for a period of two years in accordance with the collective agreement with the Danish Confederation of Professional Associations (AC). The amounts specified include a supplement locally agreed upon as well as pension contributions: Salary as a PhD scholar: 24 months at a rate of DKK 30,883 (including pension contributions and supplement), corresponding to DKK 741,210 (approx. €98,800).

Application Procedure
The application, in English, must be submitted electronically by clicking APPLY NOW below.

Please include

  • Cover Letter, stating which PhD project you are applying for and detailing your motivation and background for applying for the specific PhD project.
  • CV
  • Diploma and transcripts of records (BSc and MSc)
  • Acceptance Letter for the relevant MSc Programme at SCIENCE, if any
  • Other information for consideration, e.g. list of publications (if any),
  • Full contact details (Name, address, telephone & email) of 1-3 professional referees

The University wishes our staff to reflect the diversity of society and thus welcomes applications from all qualified candidates regardless of personal background.

The deadline for applications is 1st of June 2020, 23:59 GMT +2.
After the expiry of the deadline for applications, the authorized recruitment manager selects applicants for assessment on the advice of the Interview Committee. Afterwards an assessment committee will be appointed to evaluate the selected applications. The applicants will be notified of the composition of the committee and the final selection of a successful candidate will be made by the Head of Department, based on the recommendations of the assessment committee and the interview committee.

The main criterion for selection will be the research potential of the applicant and the above mentioned skills. The successful candidate will then be requested to formally apply for enrolment as a PhD student at the PhD school of Science. You can read more about the recruitment process at http://employment.ku.dk/faculty/recruitment-process/

Questions
For specific information about the PhD scholarship, please contact the principal supervisor Tenure-track Assistant Professor Tijs Slaats, Department of Computer Science, slaats@di.ku.dk

General information about PhD programmes at SCIENCE is available at http://www.science.ku.dk/phd

APPLY NOW

Part of the International Alliance of Research Universities (IARU), and among Europe’s top-ranking universities, the University of Copenhagen promotes research and teaching of the highest international standard. Rich in tradition and modern in outlook, the University gives students and staff the opportunity to cultivate their talent in an ambitious and informal environment. An effective organisation – with good working conditions and a collaborative work culture – creates the ideal framework for a successful academic career.

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Datalogisk Institut, Københavns Universitet (DIKU)
Datalogisk Institut, Københavns Universitet (DIKU)
DIKU er Danmarks første datalogiske institut etableret på Københavns Universitet i 1970. Instituttet driver forskning og udbyder en række bachelor-, kandidat- og ph.d.-uddannelser samt enkeltfags- og sommerkurser.

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Logo: Datalogisk Institut, Københavns Universitet (DIKU)
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